Shunyu Liu

Orcid: 0000-0003-0584-9129

Affiliations:

Zhejiang University, Hangzhou, China
Sun Yat-sen University, Guangzhou, China (former)

According to our database¹, Shunyu Liu authored at least 35 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Progressive decision-making framework for power system topology control.

[BibT_eX]

[DOI]

Expert Syst. Appl., January, 2024

Multi-agent Continuous Control with Generative Flow Networks.

[BibT_eX]

[DOI]

Neural Networks, 2024

Odyssey: Empowering Agents with Open-World Skills.

[BibT_eX]

[DOI]

CoRR, 2024

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map.

[BibT_eX]

[DOI]

CoRR, 2024

Advantage-Aware Policy Optimization for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Disentangled Condensation for Large-scale Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment.

[BibT_eX]

[DOI]

CoRR, 2024

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Simple Graph Condensation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-Channel Graph Fusion Representation for Tabular Data Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Improving Adversarial Robustness via Feature Pattern Consistency Constraint.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Distribution Knowledge Embedding for Graph Pooling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket.

[BibT_eX]

[DOI]

CoRR, 2023

Curricular Subgoals for Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

[BibT_eX]

[DOI]

CoRR, 2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

[BibT_eX]

[DOI]

CoRR, 2023

Lookaround Optimizer: k steps around, 1 step average.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Message-passing Selection: Towards Interpretable GNNs for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.

[BibT_eX]

[DOI]

CoRR, 2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Distribution Knowledge Embedding for Graph Pooling.

[BibT_eX]

[DOI]

CoRR, 2021

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN.

[BibT_eX]

[DOI]

ICO, 2021

2018

The Recognition of Driving Action Based on EEG Signals Using Wavelet-CSP Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Shunyu Liu

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